COURSE CURRICULUM

Lakehead University's Computer Science graduate course offerings cover a wide spectrum of advanced topics, blending theory and practical applications to equip students for cutting-edge careers and research. Core courses include machine learning and neural networks, big data, pattern recognition, natural language processing, and ethical issues in computer science, preparing students in AI, data science, and responsible computing. Other key courses include computing theory and scientific applications, research methodology, programming languages, computer networks, and artificial intelligence. Specialized offerings such as deep learning, computer vision and image analysis, mobile programming, computer graphics, and computer security support evolving industry and academic needs. Graduate seminars and special topics or directed reading courses provide flexibility and exposure to current trends. The master’s project and master’s thesis are capstone components, enabling students to conduct original research or applied work. Co-op options offer practical experience. Students learn to develop and analyze algorithms, work with various programming paradigms, understand and implement secure systems, and explore complex systems modeling, image processing, and mobile development. The curriculum is designed to provide both theoretical foundations and hands-on experience using current tools and technologies. These courses support students in developing strong foundations in computational methods, critical research skills, and technological expertise essential for both academic and industry careers.